Triple

T14308292
Position Surface form Disambiguated ID Type / Status
Subject Hua Guofeng E354753 entity
Predicate placeOfBirth P1 FINISHED
Object Shanxi E64927 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shanxi | Statement: [Hua Guofeng, placeOfBirth, Shanxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanxi
Context triple: [Hua Guofeng, placeOfBirth, Shanxi]
  • A. Shanxi Province chosen
    Shanxi Province is a landlocked region in northern China known for its rich coal resources, well-preserved ancient architecture, and significant historical and cultural heritage.
  • B. Shuozhou
    Shuozhou is a prefecture-level city in northern China known for its coal resources and historical sites within Shanxi Province.
  • C. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • D. Fenyang, Shanxi
    Fenyang, Shanxi is a county-level city in central Shanxi Province, China, known for its historical heritage and as the hometown of acclaimed film director Jia Zhangke.
  • E. Xinzhou
    Xinzhou is a prefecture-level city in northern China known for its historical sites and location within Shanxi Province’s coal-rich and culturally significant region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2e2444819090252684673ff3df completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.